InPost

(Senior) Data Scientist - Personalisation (m/f/n)

Kraków, pl Full-time Hybrid
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Job Description

On a daily basis you will:  Partner with our Product and Business Teams  to understand their needs, translate them into data science solutions, and provide actionable insights.  We work with all business products within InPost, e.g. InPost Mobile, Loyalty Programme, InPost Pay, among others.  Develop and implement data science solutions (ML models, GenAI products, hybrid approaches, data analytics)  to optimize marketing and products strategies, enhance user experience and shape targeting.  Collaborate closely with cross-functional teams  (e.g. other Data&AI teams, Technology teams) to ensure seamless integration of data-driven initiatives.  Stay ahead of the curve  exploring cutting-edge methods and being on top of new trends  in Data Science & AI.  Communicate insights and recommendations to the management and business teams, and other data community members.    In summary – you will have an opportunity to conduct end-to-end data products: exploring business needs (skills: understanding business, communication), analyze problems and propose thesis (data analytics), develop a solution (skills: hands-on ML/AI), present insights and results (skills: communication, translating technical stuff to non-technical people, ppt/BI), maintain the solution (skills: basic BI skills, model monitoring). 

Frequently Asked Questions

What does the (Senior) Data Scientist - Personalisation (m/f/n) role at InPost involve?

The (Senior) Data Scientist - Personalisation (m/f/n) position at InPost in Kraków, pl is a full-time role. On a daily basis&xa0;you will:&xa0; Partner with our Product and Business Teams&xa0; to understand their needs, translate them into data science solutions, and&xa0;provide&xa0;actionable insights.&xa0; We work with all business products within&xa0;InPost, e.g.&xa0;InPost&xa0;Mobile, Loyalty Programme,&xa0;InPost&xa0;Pay, among others.&xa0; Develop and implement data science solutions&xa0;(ML models,&xa0;GenAI&xa0;products,&xa0;hybrid approaches, data analytics) &xa0;to&xa0;optimize&xa0;marketing and products strategies, enhance user experience and shape targeting.&xa0; Collaborate&xa0;closely with cross-functional teams &xa0;(e.g. other&xa0;Data&AI&xa0;teams, Technology teams)&xa0;to ensure seamless integration of data-driven initiatives.

What skills are required for (Senior) Data Scientist - Personalisation (m/f/n) at InPost?

Key skills for this role include: Genai.

What is the salary for (Senior) Data Scientist - Personalisation (m/f/n) at InPost?

The salary for this position is not publicly listed. You can negotiate during the interview process. Check Glassdoor or Levels.fyi for estimates.

Is the (Senior) Data Scientist - Personalisation (m/f/n) position at InPost remote or on-site?

This position is Hybrid. Expect a combination of office and remote work, typically based in Kraków, pl.

How do I apply for (Senior) Data Scientist - Personalisation (m/f/n) at InPost?

You can apply for this position directly through the employer's careers page. Click the 'Apply Now' button on this page to be redirected to the original listing. Make sure your resume is ATS-optimized. Use SpotChange's free ATS test to check.

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About This Role

(Senior) Data Scientist - Personalisation (m/f/n) at InPost is a full-time data & analytics position in Kraków, pl. Key skills include Genai. Education: Master's Degree preferred. Experience: 5+ years.

This role is classified as hybrid and is suitable for senior-level professionals. Ghost Score 15/100 (Probably Active) indicates this listing is probably active with recent employer engagement.

To apply, visit the official application page through the Apply Now button above. SpotChange Jobs provides AI-powered career tools including resume optimization, ATS testing, interview preparation, and salary negotiation assistance.